Milken Institute School of Public Health Poster Presentations (Marvin Center & Video)

Title

Applying precision medicine concepts to prevent and early diagnose cancer: a new hypothesis

Poster Number

106

Document Type

Poster

Status

Graduate Student - Masters

Abstract Category

Prevention and Community Health

Keywords

Precision Medicine; Genomic Medicine; Big Data; EHR; Cancer Prevention

Publication Date

4-2017

Abstract

‘Precision Medicine' [PM] is the latest name that has been coined to convey ‘personalized medicine.' PM has been defined as ‘the right [drug] treatment for the right patient at the right time’. Current approaches to managing diseases are designed for an ‘average patient'; this leads to some problems with our current approach to the treatment of illnesses. For example, the efficacy and efficiency of outcomes are not uniform; only a fraction of patients – respond. The side effects can be inflicted on those who do not respond. PM will avoid these shortcoming.

The hypothesis: Cancer is a complex and multifactorial, chronic, genetic, mutational disease in the majority of cases. Genomic Medicine, ‘Big Data’ initiatives and Electronic Health Records [EHRs] are being already leveraged to provide precision cancer care to improve outcomes. Our premise is that these efforts can and should be extended to prevention / early detection areas.

RESULTS: PM encompasses a combination of genomic medicine, big data and EHR. However, there is a paucity of the application of PM concepts in the cancer prevention. Further details will be presented in our presentation as a white paper.

SUMMARY AND RECOMMENDATIONS: At least eight steps are recognized in implementing health care policies1.

  • Describe the problem - This white paper is the first step in that direction.
  • Assess readiness for policy development
  • Develop goals, objectives, and policy options - An expert panel has to be invited to develop these goals, objectives and policy options.
  • Identify decisionmakers and influencers - The panel to be invited will be represented by experts from the following fields.
      • Genomic Medicine Scientists
      • Big Data Analysts
      • EHR Experts
      • Precision Medicine Oncologists
      • Public Health Policy Implementation Experts
      • Representatives from NCI [National Cancer Institute]
      • Representatives from IOM [Institute of Medicine]
  • Build support for the policy - this will be one of the charges to be given to the 'Expert Panel'.
  • Draft and revise the policy.
  • Implement the policy - one of the major tasks will be finding the funding.
  • Evaluate and monitor the policy.

In this white paper, a new paradigm has been developed - a novel idea that 'precision medicine concepts can be applied to cancer prevention initiatives. These initiatives will apply some of the states-of-the-art ideas from Genomic Medicine, Big Data and EHR to a new area of application - Cancer Prevention.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Open Access

1

Comments

Poster to be presented at GW Annual Research Days 2017.

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Applying precision medicine concepts to prevent and early diagnose cancer: a new hypothesis

‘Precision Medicine' [PM] is the latest name that has been coined to convey ‘personalized medicine.' PM has been defined as ‘the right [drug] treatment for the right patient at the right time’. Current approaches to managing diseases are designed for an ‘average patient'; this leads to some problems with our current approach to the treatment of illnesses. For example, the efficacy and efficiency of outcomes are not uniform; only a fraction of patients – respond. The side effects can be inflicted on those who do not respond. PM will avoid these shortcoming.

The hypothesis: Cancer is a complex and multifactorial, chronic, genetic, mutational disease in the majority of cases. Genomic Medicine, ‘Big Data’ initiatives and Electronic Health Records [EHRs] are being already leveraged to provide precision cancer care to improve outcomes. Our premise is that these efforts can and should be extended to prevention / early detection areas.

RESULTS: PM encompasses a combination of genomic medicine, big data and EHR. However, there is a paucity of the application of PM concepts in the cancer prevention. Further details will be presented in our presentation as a white paper.

SUMMARY AND RECOMMENDATIONS: At least eight steps are recognized in implementing health care policies1.

  • Describe the problem - This white paper is the first step in that direction.
  • Assess readiness for policy development
  • Develop goals, objectives, and policy options - An expert panel has to be invited to develop these goals, objectives and policy options.
  • Identify decisionmakers and influencers - The panel to be invited will be represented by experts from the following fields.
      • Genomic Medicine Scientists
      • Big Data Analysts
      • EHR Experts
      • Precision Medicine Oncologists
      • Public Health Policy Implementation Experts
      • Representatives from NCI [National Cancer Institute]
      • Representatives from IOM [Institute of Medicine]
  • Build support for the policy - this will be one of the charges to be given to the 'Expert Panel'.
  • Draft and revise the policy.
  • Implement the policy - one of the major tasks will be finding the funding.
  • Evaluate and monitor the policy.

In this white paper, a new paradigm has been developed - a novel idea that 'precision medicine concepts can be applied to cancer prevention initiatives. These initiatives will apply some of the states-of-the-art ideas from Genomic Medicine, Big Data and EHR to a new area of application - Cancer Prevention.